Employment of Adaptive Learning Techniques for the Discrimination of Acoustic Emissions.

Abstract

The following aspects of this study on the discrimination of acoustic emissions (AE) were examined: (1) The analytical development and assessment of digital signal processing techniques for AE signal dereverberation, noise reduction, and source characterization; (2) The modeling and verification of some aspects of key selected techniques through a computer-based simulation; and (3) The study of signal propagation physics and their effect on received signal characteristics for relevant physical situations.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1983
Accession Number
ADA138142

Entities

People

  • H. A. Scarton
  • J. F. Mcdonald
  • J. W. Erkes
  • K. C. Tam
  • R. P. Kraft

Organizations

  • General Electric

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Accuracy
  • Acoustic Emissions
  • Acoustics
  • Algorithms
  • Computational Science
  • Computations
  • Diffraction
  • Digital Signal Processing
  • Fresnel Zones
  • Information Science
  • Modal Analysis
  • Pattern Recognition
  • Probability Distributions
  • Signal Processing
  • Statistics
  • Two Dimensional
  • Wave Propagation

Readers

  • Acoustical Oceanography.
  • Instructional Design and Training Evaluation.